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SLP Draft
SLP evaluations, drafted right — AI never invents scores
SLP Draft is a documentation workspace for school and clinic Speech Language Therapists. Score CELF-Preschool2, PLS-5, and GFTA-3 in-app, run rule-based MLU on language samples, and draft full evaluation reports or IEP Present Levels, section by section, from data you actually entered. AI handles language and structure. It never calculates standard scores, percentiles, or MLU and flags any number it can't trace back to your input. FERPA-aware, encrypted, never used to train models.
Hi PH 👋 I'm building SLP Draft because every "AI report writer" I tried as a working SLP would happily fabricate a standard score in a legal document. That's a non-starter for IEPs.
So I drew a hard line: the scoring engine computes scores from raw data, rule-based morpheme segmentation computes MLU (and you can edit per-utterance counts), and the AI only writes the language around the numbers — flagging anything it can't trace back to data you entered.
It's built by a credentialed, practicing SLP for the realities of school caseloads: short eval windows, mixed-method assessments, defensibility under IEP review, and the constant need for strength-based language without inventing data.
14-day free trial, then $24/mo. District licensing available. Would love your feedback — especially from SLPs, special ed teams, and anyone who's been burned by AI hallucinating numbers into a legal document.
About SLP Draft on Product Hunt
“SLP evaluations, drafted right — AI never invents scores”
SLP Draft was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #141 on the daily leaderboard. SLP Draft is a documentation workspace for school and clinic Speech Language Therapists. Score CELF-Preschool2, PLS-5, and GFTA-3 in-app, run rule-based MLU on language samples, and draft full evaluation reports or IEP Present Levels, section by section, from data you actually entered. AI handles language and structure. It never calculates standard scores, percentiles, or MLU and flags any number it can't trace back to your input. FERPA-aware, encrypted, never used to train models.
On the analytics side, SLP Draft competes within Productivity, Education and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how SLP Draft performed against the three products that launched closest to it on the same day.
Who hunted SLP Draft?
SLP Draft was hunted by Olivia Thomas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SLP Draft including community comment highlights and product details, visit the product overview.
Olivia Thomas